| Title |
Addressing big data variety using an automated approach for data characterization
|
|---|---|
| Published in |
Journal of Big Data, January 2022
|
| DOI | 10.1186/s40537-021-00554-3 |
| Authors |
Georgios Vranopoulos, Nathan Clarke, Shirley Atkinson |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 9% |
| Professor | 3 | 9% |
| Unspecified | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 14 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 28% |
| Engineering | 3 | 9% |
| Unspecified | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 44% |